CN119762167A - Automatic charging engine configuration method and platform combining protocol and service data - Google Patents
Automatic charging engine configuration method and platform combining protocol and service data Download PDFInfo
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Abstract
本发明公开了一种结合协议与业务数据的自动计费引擎配置方法及平台，涉及自动计费技术领域，其包括:S1、建立供用户配置协议内的计费规则的规则量化器，运行得到量化的计费规则；S2、建立用于识别业务数据唯一字段并获取该业务数据对应计费要素的要素提取器，运行得到计费要素；S3、建立包括触发器、协议/规则集匹配器、规则啮合器的适配触发器，运行得到需要执行的具体计费规则条目；S4、建立包括计算器、生成器、代收代付处理器的数据处理器，运行得到计费结果。本申请具有能更为灵活的满足自动计费需求的效果。
The present invention discloses an automatic billing engine configuration method and platform combining protocol and business data, which relates to the field of automatic billing technology, and includes: S1, establishing a rule quantizer for users to configure billing rules in the protocol, and running to obtain quantified billing rules; S2, establishing an element extractor for identifying a unique field of business data and obtaining the corresponding billing element of the business data, and running to obtain the billing element; S3, establishing an adaptation trigger including a trigger, a protocol/rule set matcher, and a rule mesher, and running to obtain the specific billing rule entry to be executed; S4, establishing a data processor including a calculator, a generator, and a collection and payment processor, and running to obtain the billing result. The present application has the effect of being able to more flexibly meet the needs of automatic billing.
Description
Technical Field
The application relates to the technical field of automatic charging, in particular to an automatic charging engine configuration method and platform combining protocol and service data.
Background
The charging of transaction and business contracts is carried out by manual operation by means of a calculator, an abacus and the like, the working efficiency is low, and the increasingly large charging demands of large-scale transaction places are difficult to meet, so that a system/platform with charging functions and charging modules is gradually introduced in the market.
However, the existing system/platform has the following problems that the charging mode lacks flexibility and cannot actively adapt to actual services, so the application provides a new technical scheme.
Disclosure of Invention
In order to meet the automatic charging requirement more flexibly, the application provides a method and a platform for configuring an automatic charging engine by combining a protocol and service data.
In a first aspect, the present application provides a method for configuring an automatic billing engine by combining a protocol and service data, which adopts the following technical scheme:
an automatic billing engine configuration method combining protocol and service data, comprising:
S1, establishing a rule quantizer for charging rules in a user configuration protocol, and running to obtain quantized charging rules, wherein the configurable content comprises one or more of a fee, unit price, currency, a settlement unit, a charging mode, a reference element, a triggering mode, a triggering condition, a hierarchical logic relation of the charging condition, a charging hit matching condition, a charging fee, a charging rate, a unique protocol identifier and a matching type;
S2, establishing an element extractor for identifying a unique field of service data and acquiring a charging element corresponding to the service data, and operating to obtain the charging element;
S3, an adaptive trigger comprising a trigger, a protocol/rule set matcher and a rule meshing device is established, and a specific charging rule entry to be executed is obtained through operation;
The trigger is used for triggering charging according to the content configured by the rule quantizer, the protocol/rule set matcher is used for matching the service and the rule set according to the content configured by the rule quantizer, and the rule meshing device is used for screening charging rule items which need to be specifically executed according to the content configured by the rule quantizer;
S4, establishing a data processor comprising a calculator, a generator and a pay-as-you-go processor, and operating to obtain a charging result;
the calculator is used for calculating according to the content configured by the rule quantizer, the generator is used for packaging the calculated result of the calculator according to the content configured by the rule quantizer, and the collecting and paying processor is used for carrying out secondary processing on the fee items generated by the generator according to the content configured by the rule quantizer to form corresponding collecting and paying items.
Optionally, the maintenance of the tariff, the maintenance of the hierarchical logic relationship of the charging condition, and the maintenance of the charging hit matching condition take a tree or other parent-child structure as a carrier, and the lower-level items store the unique identification of the upper items.
Optionally, the element extractor preloads the business data information based on the big data unit and/or the OCR unit.
Optionally, the triggering mode of the trigger comprises one or more of timing triggering, conditional triggering and manual triggering.
Optionally, the working modes of the regular meshing device are multiple, including:
if the current charging is common, the rule meshing device takes the data with the highest priority as a result;
If the step calculation is performed at present, the maximum/minimum charging rule is taken, the rule meshing device adopts all meshing results, and the results are summed and processed according to the corresponding rule after calculation, and the maximum/minimum value is taken.
Optionally, the rule jogger hits specific charging rule entries to be executed through a preset pruning algorithm.
Optionally, reverse fitting and fee item information deformation are carried out on the charge and payment of the charging result.
In a second aspect, the present application provides an automatic charging platform for combining a protocol and service data, which adopts the following technical scheme:
an automatic billing platform for combining protocol and service data, comprising:
a rule quantizer for configuring charging rules in the protocol by the user and running the quantized charging rules;
the element extractor is used for identifying the unique field of the service data, acquiring the charging element corresponding to the service data and operating to obtain the charging element;
The adaptive trigger comprises a trigger, a protocol/rule set matcher and a rule meshing device, and is used for operating to obtain specific charging rule items to be executed, wherein the trigger is used for carrying out charging trigger according to the content configured by the rule quantizer, the protocol/rule set matcher is used for matching services and rule sets according to the content configured by the rule quantizer, and the rule meshing device is used for screening the charging rule items to be executed specifically according to the content configured by the rule quantizer;
The data processor comprises a calculator, a generator and a data processor of a pay-and-pay processor, and is used for obtaining a charging result through operation, wherein the calculator is used for calculating according to the content configured by the rule quantizer, the generator is used for packaging the result calculated by the calculator according to the content configured by the rule quantizer, and the pay-and-pay processor is used for carrying out secondary processing on the fee items generated by the generator according to the content configured by the rule quantizer to form corresponding pay-and-pay items.
In summary, the application has the following beneficial technical effects that the application can be applied to most information systems or system groups with protocols and service data, realizes configurable automatic charging, is applicable to most quantifiable charging rule scenes, and can more flexibly meet the automatic charging requirement.
Drawings
FIG. 1 is a schematic overall flow diagram of the application;
FIG. 2 is a schematic diagram of the operation of the rule quantizer of the present application;
FIG. 3 is a diagram of a quantized charging condition case of the present application;
FIG. 4 is a schematic diagram of the operation of the element extractor of the present application;
FIG. 5 is a schematic diagram of the operation of the adaptive trigger of the present application;
FIG. 6 is a schematic diagram of the operation of a data processor of the present application;
FIG. 7 is a schematic diagram of other parent-child structures of the present application;
FIG. 8 is a schematic diagram of FIG. 7 when it is shown in a tree structure.
Detailed Description
The application is described in further detail below with reference to fig. 1-7.
The embodiment of the application discloses an automatic charging engine configuration method combining protocol and service data, which can be applied to most information systems or system groups with protocol and service data to realize configurable automatic charging, is applicable to most quantifiable charging rule scenes, and can more flexibly meet the automatic charging requirement.
Referring to fig. 1 to 6, the automatic billing engine configuration method combining protocol and service data includes:
S1, establishing a rule quantizer for charging rules in a user configuration protocol, and operating the quantized charging rules.
The configurable content comprises one or more of fee, unit price, currency, settlement unit, charging mode, reference element, triggering mode, triggering condition, hierarchical logic relation of charging condition, charging hit matching condition, charging fee, tax rate, protocol unique identification and matching type.
The rule quantizer is realized by a front-end page program, a background program and a database storage mode, the front end creates a corresponding UI interface, the page design and the interactivity are good, the user can conveniently and rapidly conduct configuration of quantization rules, and the background program is mainly responsible for receiving data transmitted by the front end, checking and storing configuration information in the database.
It should be noted that, the maintenance of the tariff, the maintenance of the hierarchical logic relationship of the charging conditions, the maintenance of the charging hit matching conditions takes a tree or other parent-child structure as a carrier, and the lower-level items store the unique identification of the items, specifically:
The rule branching logic adopts a tree form or other father-son structures as a carrier, the father-son attribute relationship of the rule item is considered in the design process, the unique identification mode of storing the father item by the son item is adopted to realize the storage of the father-son attribute relationship, and the front end can further strengthen the logic of the father-son attribute visually in the design process by folding and unfolding the tree.
S2, establishing an element extractor for identifying a unique field of the service data and acquiring the charging element corresponding to the service data, and operating to obtain the charging element.
In the embodiment, the element extractor is realized by adopting a database technology, under the condition of low performance requirement, the service data table can be queried in a database view or storage process mode, unlimited extraction and expansion of the charging elements are realized by adopting a column transfer mode, and in a high performance requirement scene, the charging elements corresponding to the service items are updated in a special charging element table when the service data is stored or changed by adopting a storage process or a background program processing mode, so that the charging elements are acquired more efficiently when triggering, judging and charging are performed.
In another embodiment of the application, the element extractor preloads the business data information based on big data units and/or OCR units, in particular:
Based on the big data unit, the platform for realizing the method can analyze based on the charging elements commonly used in the industry, automatically list a plurality of charging elements with higher use probability according to the charging proportion or weight, and preload the charging elements before the actual use of the user.
Based on OCR unit, reading protocol content uploaded by user, analyzing keyword frequency and weight of text appearance element, and preloading element.
S3, an adaptive trigger comprising a trigger, a protocol/rule set matcher and a rule meshing device is established, and a specific charging rule entry to be executed is obtained through operation.
The trigger is used for charging trigger according to the content configured by the rule quantizer, and the trigger mode of the trigger comprises one or more of timing trigger, conditional trigger and manual trigger, and specifically:
The timing trigger adopts a timer mode, and triggers the engine to charge after the set specified time is reached, the condition trigger is a mode of monitoring the trigger based on the specified condition value, and triggers the engine to charge after the corresponding monitored element meets the configured condition, and the manual trigger is usually provided for other function calling interfaces, and immediately triggers the engine to charge after receiving the calling instruction. The trigger is generally realized by a database technology or a background program, if the database technology is used, the timer, the trigger and the storage process of the database are generally used for realizing timing, condition and manual triggering, and if the background program is used, the trigger is generally realized by adopting a mode of timing tasks and polling triggering conditions.
The protocol/rule set matcher is used for matching the service and the rule set according to the content configured by the rule quantizer, and particularly, in a system with protocol and service data, the service is usually developed according to a certain protocol, and the protocol/rule set matcher can find a charging rule set to be executed for the service needing to be charged through the unique identification of the protocol configured by the rule quantizer and the matched service type content. The protocol matcher is generally implemented based on database query sentences, and searches for a charging rule set containing the same attribute by using the protocol and service type attribute of the service data.
The rule joggler is used for screening the charging rule items which need to be executed specifically according to the content configured by the rule quantizer, and particularly, the rule joggler can strip the charging rule with the hierarchical structure by combining the charging elements lifted by the element extractor according to the hierarchical logic relation and the charging hit matching condition of the charging conditions configured by the rule quantizer, so as to determine the specific charging rule items which need to be executed.
The difficulty of the rule meshing device is how to hit a specific charging rule item to be executed, and the specific charging rule item is realized by using a preset pruning algorithm under the hierarchical logic of the tree, namely, the whole charging rule set is polled layer by layer from a father node, if the triggering condition of a charging item is judged to be met, the sub-item of the charging item is polled continuously until a charging item without the sub-item is hit, namely, the specific charging rule item to be executed is hit, and other items which do not meet the triggering condition or are not polled are pruned and are not executed. The algorithm is basically equivalent to sequential search, the time complexity is O (n), but the billing efficiency can be improved by manually writing billing rule entries with high concentration probability at the front position. In other special charging scenarios, other algorithms may also be considered to continue optimizing charging efficiency.
It should be noted that the regular coupler operates in a plurality of modes, including:
if the current charging is common, the rule meshing device takes the data with the highest priority as a result;
If the step calculation is performed at present, the maximum/minimum charging rule is taken, the rule meshing device adopts all meshing results, and the results are summed and processed according to the corresponding rule after calculation, and the maximum/minimum value is taken.
In particular, in the charging modes of step charging, large value charging and the like, the meshing device needs to return all meshing results so as to process the next link, and a pruning algorithm can be adopted similarly, but the operation is not interrupted after the impact, and the operation is continued and a result set is returned.
S4, establishing a data processor comprising a calculator, a generator and a pay-as-you-go processor, and operating to obtain a charging result.
The calculator is used for calculating according to the content configured by the rule quantizer, and specifically, the calculator is used for actually calculating the cost based on unit price, charging mode and reference elements. The charging mode usually comprises a simple unit price number mode, and more advanced charging modes such as step charging, compound charging and the like can be designed according to actual needs. When designing a program, different charging modes are respectively written for different charging modes, when calculating and executing, the method for calling the program is determined by the charging modes configured on the charging items, and the unit price and the charging elements are transmitted into the method by a parameter transmission mode to execute operation, so that a calculation result is obtained.
The generator is used for packaging the result calculated by the calculator according to the content configured by the rule quantizer, and carrying out actual packaging of the fee according to the content such as fee, currency, settlement unit and the like to form fee data which can be put in storage and actually used. The generator is a packaging component, realized by a background program, and transmits the fee item information configured on the charging item and the calculation result generated by the calculator into the method of the generator in a parameter transmission mode to form a finished fee item data record, and the data record is stored into a database to finish the generation and storage of the charging result.
The payment collecting and paying processor is used for carrying out secondary processing on the fee items generated by the generator according to the content configured by the rule quantizer to form corresponding payment collecting items or payment collecting items, and can reprocess and package the fee items according to the payment collecting items and the payment collecting rate to form corresponding payment collecting and paying Fei Mu and form corresponding logic connection. The collecting and paying processor is an enhanced generator based on actual service demands, and is realized through a background program, the payment item data produced by the generator is called out from a database, and is combined with collecting and paying information configured on the payment item, and a new payment item data record is produced for warehousing in a method of transmitting the payment item data record into the collecting and paying processor in a parameter transmission mode, and the corresponding collecting and paying item data record is updated at the same time, and the binding relation of the payment item data record and the payment item data record is stored.
According to the setting, the method can be applied to most information systems or system groups with protocols and service data, realizes configurable automatic charging, is applicable to most quantized charging rule scenes, and can more flexibly meet the automatic charging requirement.
In the embodiment of the present application, as shown in fig. 7, other parent-child structures are exemplified by charging for handling fees for a unit:
The first is a layer;
The second behavior is layered with the sixth behavior, the ninth behavior is layered with the layers, the twelfth behavior is layered with the layers, and the fifteenth behavior is layered with the layers;
the seventh and eighth actions are layered, the tenth and eleventh actions are layered, the thirteenth and fourteenth actions are layered, and the sixteenth and seventeenth actions are layered.
After the engine enters the expense calculation branch, firstly carrying out matching identification on the operation content according to the sequence of operation content loading, boxing, returning to a stack, belt scale calibration, loading, warehousing, loading, turning to a stack, if a branch is hit, entering the branch, and judging whether the branch is a charging branch;
If the branch is charging branch, charging is directly carried out, if the branch is provided with sub-branches, the sub-branches are continuously judged in sequence until the hit is reached, if the hit operation content is the record of loading, whether weighing is needed to be continuously judged.
If a tree diagram is used for the presentation, reference is made to fig. 8.
In another embodiment of the application, reverse fitting and fee information deformation are also performed on the receipt and payment of the charging result.
The aim of the steps is to bind the logical relationship of the collection and payment. Reverse fitting and fee term information morphing, examples:
One of the items is being commissioned for a certain job, one of the items is 1000 yuan/bill for the customer (a), 800 yuan/bill for the provider (b), and the price, including tax rate, fee, etc. are different.
Namely 1000 yuan/order, 800 yuan/order.
Currently, there are the following demands:
1) In terms of business and financial approval, the two pay-and-pay items still need to have a clear association relationship, and the association relationship is used for judging whether the pay is lost and clearing the cost cause when in approval or statistics;
2) There is a fixed algorithm for the up and down fees, i.e. the cost is 0.8 times the income, especially in case of bulk billing, the user does not want to maintain the fee again after maintaining the fee.
Based on the above example situation and the two-point requirement, the application further does reverse fitting and fee term information deformation.
The embodiment of the application also discloses an automatic charging platform combining the protocol and the service data.
An automatic billing platform for combining protocol and service data, comprising:
a rule quantizer for configuring charging rules in the protocol by the user and running the quantized charging rules;
the element extractor is used for identifying the unique field of the service data, acquiring the charging element corresponding to the service data and operating to obtain the charging element;
The adaptive trigger comprises a trigger, a protocol/rule set matcher and a rule meshing device, and is used for operating to obtain specific charging rule items to be executed, wherein the trigger is used for carrying out charging trigger according to the content configured by the rule quantizer, the protocol/rule set matcher is used for matching services and rule sets according to the content configured by the rule quantizer, and the rule meshing device is used for screening the charging rule items to be executed specifically according to the content configured by the rule quantizer;
The data processor comprises a calculator, a generator and a data processor of a pay-and-pay processor, and is used for obtaining a charging result through operation, wherein the calculator is used for calculating according to the content configured by the rule quantizer, the generator is used for packaging the result calculated by the calculator according to the content configured by the rule quantizer, and the pay-and-pay processor is used for carrying out secondary processing on the fee items generated by the generator according to the content configured by the rule quantizer to form corresponding pay-and-pay items.
The above composition has been described in the previous method embodiment and is therefore not described in detail.
The above embodiments are not intended to limit the scope of the application, so that the equivalent changes of the structure, shape and principle of the application are covered by the scope of the application.
Claims (8)
1. An automatic billing engine configuration method combining protocol and service data, comprising:
S1, establishing a rule quantizer for charging rules in a user configuration protocol, and running to obtain quantized charging rules, wherein the configurable content comprises one or more of a fee, unit price, currency, a settlement unit, a charging mode, a reference element, a triggering mode, a triggering condition, a hierarchical logic relation of the charging condition, a charging hit matching condition, a charging fee, a charging rate, a unique protocol identifier and a matching type;
S2, establishing an element extractor for identifying a unique field of service data and acquiring a charging element corresponding to the service data, and operating to obtain the charging element;
S3, an adaptive trigger comprising a trigger, a protocol/rule set matcher and a rule meshing device is established, and a specific charging rule entry to be executed is obtained through operation;
The trigger is used for triggering charging according to the content configured by the rule quantizer, the protocol/rule set matcher is used for matching the service and the rule set according to the content configured by the rule quantizer, and the rule meshing device is used for screening charging rule items which need to be specifically executed according to the content configured by the rule quantizer;
S4, establishing a data processor comprising a calculator, a generator and a pay-as-you-go processor, and operating to obtain a charging result;
the calculator is used for calculating according to the content configured by the rule quantizer, the generator is used for packaging the calculated result of the calculator according to the content configured by the rule quantizer, and the collecting and paying processor is used for carrying out secondary processing on the fee items generated by the generator according to the content configured by the rule quantizer to form corresponding collecting and paying items.
2. The method for automatically configuring a rating engine for combining protocol and service data according to claim 1, wherein the maintenance of the rating, the maintenance of the hierarchical logical relationship of the rating conditions, the maintenance of the rating hit matching conditions takes a tree or other parent-child structure as a carrier and the lower level entry stores the unique identifier of the upper entry.
3. The method for automatically charging engine configuration for combining protocol and service data according to claim 2, wherein the element extractor preloads service data information based on a big data unit and/or an OCR unit.
4. The method for automatically charging engine configuration in combination with protocol and service data according to claim 1, wherein the trigger mode of the trigger comprises one or more of timing trigger, conditional trigger and manual trigger.
5. The method for automatically charging engine configuration by combining protocol and service data according to claim 1, wherein the operation modes of the rule joggler are plural, comprising:
if the current charging is common, the rule meshing device takes the data with the highest priority as a result;
If the step calculation is performed at present, the maximum/minimum charging rule is taken, the rule meshing device adopts all meshing results, and the results are summed and processed according to the corresponding rule after calculation, and the maximum/minimum value is taken.
6. The method for automatically configuring a charging engine for combining protocol and service data according to claim 5, wherein the rule joggler hits specific charging rule entries to be executed by a preset pruning algorithm.
7. The method for automatically configuring a charging engine by combining protocol and service data according to claim 1, wherein the charging and discharging of the charging result is reversely fitted and the fee information is deformed.
8. An automatic billing platform for combining protocol and service data, comprising:
a rule quantizer for configuring charging rules in the protocol by the user and running the quantized charging rules;
the element extractor is used for identifying the unique field of the service data, acquiring the charging element corresponding to the service data and operating to obtain the charging element;
The adaptive trigger comprises a trigger, a protocol/rule set matcher and a rule meshing device, and is used for operating to obtain specific charging rule items to be executed, wherein the trigger is used for carrying out charging trigger according to the content configured by the rule quantizer, the protocol/rule set matcher is used for matching services and rule sets according to the content configured by the rule quantizer, and the rule meshing device is used for screening the charging rule items to be executed specifically according to the content configured by the rule quantizer;
The data processor comprises a calculator, a generator and a data processor of a pay-and-pay processor, and is used for obtaining a charging result through operation, wherein the calculator is used for calculating according to the content configured by the rule quantizer, the generator is used for packaging the result calculated by the calculator according to the content configured by the rule quantizer, and the pay-and-pay processor is used for carrying out secondary processing on the fee items generated by the generator according to the content configured by the rule quantizer to form corresponding pay-and-pay items.
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